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Datadog vs Groundcover Observability Platform comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Categories and Ranking

Datadog
Ranking in Application Performance Monitoring (APM) and Observability
1st
Ranking in Log Management
4th
Ranking in AI Observability
1st
Average Rating
8.6
Reviews Sentiment
6.9
Number of Reviews
211
Ranking in other categories
Network Monitoring Software (3rd), IT Infrastructure Monitoring (2nd), Container Monitoring (3rd), Cloud Monitoring Software (1st), AIOps (1st), Cloud Security Posture Management (CSPM) (5th)
Groundcover Observability P...
Ranking in Application Performance Monitoring (APM) and Observability
47th
Ranking in Log Management
41st
Ranking in AI Observability
25th
Average Rating
8.0
Reviews Sentiment
5.4
Number of Reviews
3
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of August 2026, in the Application Performance Monitoring (APM) and Observability category, the mindshare of Datadog is 4.4%, down from 9.0% compared to the previous year. The mindshare of Groundcover Observability Platform is 0.3%. It is calculated based on PeerSpot user engagement data.
Application Performance Monitoring (APM) and Observability Mindshare Distribution
ProductMindshare (%)
Datadog4.4%
Groundcover Observability Platform0.3%
Other95.3%
Application Performance Monitoring (APM) and Observability
 

Featured Reviews

Dhroov Patel - PeerSpot reviewer
Site Reliability Engineer at Grainger
Has improved incident response with better root cause visibility and supports flexible on-call scheduling
Datadog needs to introduce more hard limits to cost. If we see a huge log spike, administrators should have more control over what happens to save costs. If a service starts logging extensively, I want the ability to automatically direct that log into the cheapest log bucket. This should be the case with many offerings. If we're seeing too much APM, we need to be aware of it and able to stop it rather than having administrators reach out to specific teams. Datadog has become significantly slower over the last year. They could improve performance at the risk of slowing down feature work. More resources need to go into Fleet Automation because we face many problems with things such as the Ansible role to install Datadog in non-containerized hosts. We mainly want to see performance improvements, less time spent looking at costs, the ability to trust that costs will stay reasonable, and an easier way to manage our agents. It is such a powerful tool with much potential on the horizon, but cost control, performance, and agent management need improvement. The main issues are with the administrative side rather than the actual application.
EO
Software Engineer at FairMoney
Centralized observability has improved transaction monitoring and now reduces errors through faster troubleshooting
Groundcover Observability Platform is already very vast, and improving it requires proper training for even a software developer to be able to use it. A person in tech needs training to navigate the system. The UI is better, but it can be improved to include a more intuitive design that easily explains itself to users so that navigation is simpler. Many features are hidden, and you need someone who is experienced with the platform to direct you on how to view certain information or complete specific tasks and walk you through the process. It would be better if Groundcover focused more on simplifying the user interface and improving human-computer interactions of the dashboard to make it so easy for a new developer or specialist to navigate and get what they need quickly. Querying data from Groundcover is not easy if you do not have specific information. You cannot perform a wildcard search in the text box. If you go to the log and enter an error message, it will not bring any results for you. You must first specify the workload or pods you are looking for, then enter the error. You need to add tags and put in your strings to be able to search for your particular logs or errors. If you just put a wildcard search in the text box, it will not work and will appear as if there are no logs that relate to that search, when in reality the logs exist. Making it easier for developers, users, and specialists using Groundcover to navigate and get what they need without the help of an experienced person walking them through is very important. This improvement is not about functionality but more about making navigation easier.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"Using the product has caused a paradigm shift in how we deploy monitoring."
"So far, Datadog has shown very good options to work on all of our operational and development issues."
"We like the distributed tracing and flame graphs for debugging. This has been invaluable for us during periods of high traffic or red alert conditions."
"For us to have visibility into our app stack and the hardware we run has been highly beneficial."
"The ease of use allowed me to get up to speed with log management since it's my first time using Datadog."
"It lets us react more quickly to things going wrong. Whereas before, it might have been 30 minutes to an hour before we noticed something going on, we will know within a minute or two if something is off, which will let us essentially get something back up and running faster for our customers, which is revenue."
"Our ROI with Datadog has been very high."
"I don't have to worry about upgrades with the AWS version."
"We switched to Groundcover Observability Platform primarily because of the difficult query syntax in our previous solution, and we chose Groundcover for their business model as they don't charge based on log storage, they provide the infrastructure, and from a security perspective, the data stays in-house, which wasn't the case with our previous tool."
"Groundcover Observability Platform scales effectively with our organization's growth as we add new environments and everything works great, and the migration from our old product went very smoothly, allowing us to deprecate it rather quickly."
"Groundcover Observability Platform has impacted my organization positively as it is the primary way we use observability in our company, so it has a significant impact."
"Troubleshooting is very fast compared to manual investigation or using the other forms of logging that we used to have, and downtime and errors have decreased because we are able to see our performance and workload pods performing better, increase CPU and memory resources as soon as usage goes above the threshold, and make our application more scalable and improve performance metrics, reducing the number of errors in the application by at least 70%."
 

Cons

"The real issue with this product is cost control."
"One thing that I haven't been able to figure out is how to retrieve a report."
"Datadog could always lower the price!"
"There could be more easily identifiable documentation on how to find different things on the platform."
"The pricing should be less of a surprise."
"For some features, it was quite expensive. For example, APM and RAM, and Session Replays."
"Some of the interface is still confusing to use."
"Delta traces on the Golang profiler are extremely expensive concerning memory utilization."
"I think it would be beneficial to see the body and content of API calls in the traces as a possible improvement."
"Querying data from Groundcover is not easy if you do not have specific information."
"I would assess the stability and reliability of Groundcover Observability Platform as an eight out of ten; while I haven't experienced issues personally, I am aware they occasionally encounter some challenges."
 

Pricing and Cost Advice

"This solution is budget friendly."
"Licensing is based on the retention period of logs and metrics."
"While it is an expensive product, I would rate the pricing level at four out of five."
"If you do your homework, you'll find that if you're really concerned with cost, it's good."
"The price is better than some competing products."
"The pricing came up a bit compared to their competitors. It is not that the price has risen, but that the competitors have gone down. They keep adding more features that I would have expected to be baked in at a more nominal price. I have been increasingly dissatisfied with the pricing, but not enough to jump ship."
"Datadog does not provide any free plans to use the solution. When I start with a proof of concept it would be sensible to have a free plan to test the tool and check whether it fits the requirements of the project. Before the production stage, it is always good to have a free plan with some limited features, number of requests, or logs."
"They prefer monthly subscriptions."
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Top Industries

By visitors reading reviews
Financial Services Firm
14%
Manufacturing Company
9%
Computer Software Company
8%
Outsourcing Company
6%
Construction Company
38%
Financial Services Firm
9%
Recreational Facilities/Services Company
8%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business82
Midsize Enterprise49
Large Enterprise100
No data available
 

Questions from the Community

Any advice about APM solutions?
There are many factors and we know little about your requirements (size of org, technology stack, management systems, the scope of implementation). Our goal was to consolidate APM and infra monitor...
Datadog vs ELK: which one is good in terms of performance, cost and efficiency?
With Datadog, we have near-live visibility across our entire platform. We have seen APM metrics impacted several times lately using the dashboards we have created with Datadog; they are very good c...
Which would you choose - Datadog or Dynatrace?
Our organization ran comparison tests to determine whether the Datadog or Dynatrace network monitoring software was the better fit for us. We decided to go with Dynatrace. Dynatrace offers network ...
What needs improvement with Groundcover Observability Platform?
I cannot think of something specific regarding improvements for Groundcover Observability Platform as it is quite effective, especially compared to my previous experience with a Rapid7 platform, wh...
What is your primary use case for Groundcover Observability Platform?
My main use case for Groundcover Observability Platform is monitoring Kubernetes clusters and pods, as well as logs from our production product. I use Groundcover Observability Platform with my Kub...
What advice do you have for others considering Groundcover Observability Platform?
My advice to others considering Groundcover Observability Platform is that I would recommend a monitoring application for everyone. It is simply a matter of becoming accustomed to it, and Groundcov...
 

Overview

 

Sample Customers

Adobe, Samsung, facebook, HP Cloud Services, Electronic Arts, salesforce, Stanford University, CiTRIX, Chef, zendesk, Hearst Magazines, Spotify, mercardo libre, Slashdot, Ziff Davis, PBS, MLS, The Motley Fool, Politico, Barneby's
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Find out what your peers are saying about Datadog vs. Groundcover Observability Platform and other solutions. Updated: August 2026.
908,858 professionals have used our research since 2012.